Influence

Influence.vglm

Returns a matrix containing the influence function
 of a fitted model, e.g., a "vglm" object.

models

An implementation of about 6 major classes of
statistical regression models. The central algorithm is
Fisher scoring and iterative reweighted least squares.
At the heart of this package are the vector generalized linear
and additive model (VGLM/VGAM) classes. VGLMs can be loosely
thought of as multivariate GLMs. VGAMs are data-driven
VGLMs that use smoothing. The book "Vector Generalized
Linear and Additive Models: With an Implementation in R"
(Yee, 2015) <DOI:10.1007/978-1-4939-2818-7> gives details of
the statistical framework and the package. Currently only
fixed-effects models are implemented. Many (100+) models and
distributions are estimated by maximum likelihood estimation
(MLE) or penalized MLE. The other classes are RR-VGLMs
(reduced-rank VGLMs), quadratic RR-VGLMs, doubly constrained
RR-VGLMs, quadratic RR-VGLMs, reduced-rank VGAMs,
RCIMs (row-column interaction models)---these classes perform
constrained and unconstrained quadratic ordination (CQO/UQO)
models in ecology, as well as constrained additive ordination
(CAO). Hauck-Donner effect detection is implemented.
Note that these functions are subject to change;
see the NEWS and ChangeLog files for latest changes.

Thomas Yee

VGAM

Vector Generalized Linear and Additive Models

Cleve Moler

Influence function

<dl> <dt>object</dt>
<dd>an object, especially that of class <code>"vglm"</code>---see
 <code>vglm-class</code>.
 Currently other classes such as <code>"vgam"</code> are not yet
 implemented.</dd>
 <dt>weighted</dt>
<dd>Logical. Include the prior weights?
 Currently only <code>TRUE</code> is accepted.
 This might change in the future and/or
 the default value might change.</dd> <dt>...</dt>
<dd>any additional arguments such as to
 allow or disallow the prior weights.</dd></dl>

Arguments

This function is currently experimental and
 defaults may change.
 Use with caution!
 The functions here should not be confused with
 <code><a href="/link/lm.influence?package=VGAM&version=1.1-12" data-mini-rdoc="VGAM::lm.influence">lm.influence</a></code>.

Warning

Returns a matrix containing the influence function
 of a fitted model, e.g., a "vglm" object.

Influence Function (S4 generic)
  of a Fitted Model — Influence

<dl>

 <dt>object</dt>
<dd>an object, especially that of class <code>"vglm"</code>---see
 <code>vglm-class</code>.
 Currently other classes such as <code>"vgam"</code> are not yet
 implemented.


</dd>

 <dt>weighted</dt>
<dd>Logical. Include the prior weights?
 Currently only <code>TRUE</code> is accepted.
 This might change in the future and/or
 the default value might change.

</dd>

 <dt>...</dt>
<dd>any additional arguments such as to
 allow or disallow the prior weights.

</dd>

</dl>

This function is currently experimental and
 defaults may change.
 Use with caution!
 The functions here should not be confused with
 <code><a href='https://rdrr.io/r/stats/lm.influence.html'>lm.influence</a></code>.

Influence: Influence Function (S4 generic) of a Fitted Model

Description

Usage

Value

Arguments

Warning

Details

See Also

Examples